Lsi Industries (LYTS) Other Accumulated Expenses (2011 - 2026)
Lsi Industries' Other Accumulated Expenses came in at $7.57 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 46.4% from $5.17 million a year earlier but down 27.4% from the prior quarter.
Lsi Industries (LYTS) Other Accumulated Expenses (2011 - 2026) Analysis & Trends
Going back to fiscal Q4 2011, Lsi Industries' Other Accumulated Expenses data covers 58 quarters.
- Other Accumulated Expenses carries a five-year compound annual growth rate of 15.3% (FY2021 to FY2026).
- Going back by fiscal year, Other Accumulated Expenses was $5.17 million in FY2025 (-14.4%), $6.04 million in FY2024 (+10.9%), $5.44 million in FY2023 (+13.8%) and $4.78 million in FY2022 (+28.9%).
- The five-year range for quarterly Other Accumulated Expenses is $3.92 million (fiscal Q3 2022) to $10.42 million (fiscal Q3 2026).
- Year-over-year, Other Accumulated Expenses has increased for four consecutive quarters, with growth averaging 26.5% over the last eight quarters.
- The fastest year-over-year change in Other Accumulated Expenses over five years came in fiscal Q3 2026 (growth of 83.6%), and the weakest in fiscal Q3 2024 (a decline of 20.5%).
- Business Quant data shows LYTS's Other Accumulated Expenses at $10.42 million (Q3 2026), $7.91 million (Q2 2026) and $7.29 million (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Caterpillar | 388.70 Bn | 360.40 Bn | 7.76 Bn |
| 2 | Amphenol | 214.42 Bn | 209.12 Bn | 3.55 Bn |
| 3 | Deere | 185.30 Bn | 194.07 Bn | 4.66 Bn |
| 4 | Eaton | 169.35 Bn | 166.59 Bn | 2.86 Bn |
| 5 | Parker-Hannifin | 122.64 Bn | 120.77 Bn | 2.25 Bn |
| 6 | Vertiv Holdings | 97.12 Bn | 87.74 Bn | 1.23 Bn |
| 7 | Emerson Electric | 90.13 Bn | 82.89 Bn | 2.66 Bn |
| 8 | 3M | 83.49 Bn | 64.94 Bn | 2.68 Bn |
| 9 | Illinois Tool Works | 74.89 Bn | 71.45 Bn | 1.90 Bn |
| 10 | Lsi Industries | 785.67 Mn | 747.54 Mn | 57.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.57 Mn |
| Mar 31, 2026 | 10.42 Mn |
| Dec 31, 2025 | 7.91 Mn |
| Sep 30, 2025 | 7.29 Mn |
| Jun 30, 2025 | 5.17 Mn |
| Mar 31, 2025 | 5.68 Mn |
| Dec 31, 2024 | 6.70 Mn |
| Sep 30, 2024 | 6.21 Mn |
| Jun 30, 2024 | 6.04 Mn |
| Mar 31, 2024 | 4.48 Mn |
| Dec 31, 2023 | 5.81 Mn |
| Sep 30, 2023 | 5.21 Mn |
| Jun 30, 2023 | 5.44 Mn |
| Mar 31, 2023 | 5.63 Mn |
| Dec 31, 2022 | 6.05 Mn |
| Sep 30, 2022 | 4.85 Mn |
| Jun 30, 2022 | 4.78 Mn |
| Mar 31, 2022 | 3.92 Mn |
| Dec 31, 2021 | 7.03 Mn |
| Sep 30, 2021 | 5.37 Mn |
Lsi Industries Other Accumulated Expenses API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-expenses", "ticker": "LYTS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-accumulated-expenses&ticker=LYTS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();